π Hi there! Xin Wu (ε΄ζ¬£)
I am currently pursuing my PhD π in Computer Science and Technology at Southwest Jiaotong University (SWJTU), under the mentorship of Prof. Fei Teng. The main research directions of the masterβs degree are image processing, AI π» + medical π₯, and the key research directions are imaging medicine and traditional Chinese medicine intelligent diagnosis. My current research interests lie in time series π, OOD Generalization, and reliable AI. I am committed to pushing the boundaries of these research areas and exploring the full potential of machine learning algorithms to contribute meaningfully to the world of technology.
XIN WU (Towards eXtreme-scale, Interpretable, Novelty-aware, Wide-domain, Uncertainty-aware AI) aims to develop trustworthy and generalizable AI systems by advancing large-scale data mining, interpretable modeling, OOD robustness, domain generalization, and uncertainty quantification.
π€ Only two things make me move.
i. β¨οΈ 𧱠Working with Attention. Itβs all I need.
ii. Life was like a box of chocolates π«. You never know what youβre going to get.
If you are interested in any aspect of me, I would love to chat and collaborate, please contact xinwu5386[at]gmail.com or wu1351658806[at]163.com.
π₯ News
| Mar 2026 | π A survey paper Out-of-Distribution Generalization in Time Series has been accepted by Inf. Fusion. π |
| Mar 2026 | π One paper accepted to DAC 2026! π |
| Feb 2026 | π One paper SCINet has been accepted by TMM! π |
| Jan 2026 | π Our CTransCNN paper has received more than 100 citations! π |
| Nov 2025 | π One paper accepted to AAAI 2026! π |
| Dec 2023 | π One paper CTransCNN was published by KBS (just over two months)! π |
| Aug 2023 | π One paper accepted to PRCV 2023, see you in Xiamen! π |
| Oct 2022 | π One paper accepted to Frontiers of Computer Science and Technology. π |
π Publications
PRISM: Dynamic Primitive-Based Forecasting for Large-Scale GPU Cluster Workloads
Xin Wu, Fei Teng (*), Xingwang Li, Bin Zheng, Qiang Duan
Proceedings of the 63rd ACM/IEEE Design Automation Conference (DACβ26), 2026.
Exploring Partial Multi-Label Learning via Integrating Semantic Co-occurrence Knowledge
Xin Wu, Fei Teng (*), Yue Feng, Kaibo Shi, Zhuosheng Lin, Ji Zhang, James Wang.
IEEE Transactions on Multimedia (TMM), 2026.
Xin Wu, Fei Teng (*), Ji Zhang, Xingwang Li, Yuxuan Liang.
ArXiv, 2025.
Out-of-Distribution Generalization in Time Series: A Survey
Xin Wu, Fei Teng (*), Xingwang Li, Ji Zhang, Tianrui Li, Qiang Duan.
Information Fusion, 2026.
CTransCNN: Combining Transformer and CNN in Multilabel Medical Image Classification
Xin Wu, Yue Feng (*), Hong Xu, Zhuosheng Lin, Tao Chen, Shengke Li, Shihan Qiu, Qichao Liu, Yuangang Ma, Shuangsheng Zhang.
Knowledge-Based Systems (KBS), 2023.
Review of Deep Learning in Classification of Tongue Image
Xin Wu, Hong Xu, Zhuosheng Lin, Shengke Li, Huilin Liu, Yue Feng (*).
Journal of Frontiers of Computer Science & Technology, 2023.
CheXNet: Combing Transformer and CNN for Thorax Disease Diagnosis from Chest X-ray Images
Xin Wu, Yue Feng (*), Hong Xu, Zhuosheng Lin, Shengke Li, Shihan Qiu, QiChao Liu, Yuangang Ma.
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023.
π» Internships
- Sep. 2022-July. 2023, Intelligent TCM Research Intern,Jiangmen Central Hospital, Jiangmen, China.
π Honors and Awards
- Sep. 2018: Third Prize (Top 5%) in the 2018 Microsoft βInnovation Cupβ Global College Student Technology Competition, China Region (Top 36 nationwide).
- Nov. 2018: Outstanding Award (Top 10%) in the Fourth βInternet+β Innovation and Entrepreneurship Competition, Chongqing.
